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Microbiome Analysis

Overview of attention for book
Cover of 'Microbiome Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Characterizing the Deep Terrestrial Subsurface Microbiome
  3. Altmetric Badge
    Chapter 2 Freshwater Viromes: From Sampling to Evaluation
  4. Altmetric Badge
    Chapter 3 Characterization of Eukaryotic Microbiome Using 18S Amplicon Sequencing
  5. Altmetric Badge
    Chapter 4 Culture and Molecular Profiling of the Respiratory Tract Microbiota
  6. Altmetric Badge
    Chapter 5 Methods and Strategies to Examine the Human Breastmilk Microbiome
  7. Altmetric Badge
    Chapter 6 Quantification of Vitamin B12-Related Proteins in Marine Microbial Systems Using Selected Reaction Monitoring Mass Spectrometry
  8. Altmetric Badge
    Chapter 7 Single-Cell Genomics of Microbial Dark Matter
  9. Altmetric Badge
    Chapter 8 16S rRNA Gene Analysis with QIIME2
  10. Altmetric Badge
    Chapter 9 Processing a 16S rRNA Sequencing Dataset with the Microbiome Helper Workflow
  11. Altmetric Badge
    Chapter 10 Normalization of Microbiome Profiling Data
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    Chapter 11 Predicting the Functional Potential of the Microbiome from Marker Genes Using PICRUSt
  13. Altmetric Badge
    Chapter 12 Metagenome Assembly and Contig Assignment
  14. Altmetric Badge
    Chapter 13 From RNA-seq to Biological Inference: Using Compositional Data Analysis in Meta-Transcriptomics
  15. Altmetric Badge
    Chapter 14 Subsampled Assemblies and Hybrid Nucleotide Composition/Differential Coverage Binning for Genome-Resolved Metagenomics
  16. Altmetric Badge
    Chapter 15 Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host–Microbiota Interactions
  17. Altmetric Badge
    Chapter 16 Constructing and Analyzing Microbiome Networks in R
  18. Altmetric Badge
    Chapter 17 Bayesian Inference of Microbial Community Structure from Metagenomic Data Using BioMiCo
  19. Altmetric Badge
    Chapter 18 Analyzing Metabolic Pathways in Microbiomes
  20. Altmetric Badge
    Chapter 19 Sparse Treatment-Effect Model for Taxon Identification with High-Dimensional Metagenomic Data
Attention for Chapter 16: Constructing and Analyzing Microbiome Networks in R
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
14 X users

Citations

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23 Dimensions

Readers on

mendeley
154 Mendeley
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Chapter title
Constructing and Analyzing Microbiome Networks in R
Chapter number 16
Book title
Microbiome Analysis
Published in
Methods in molecular biology, October 2018
DOI 10.1007/978-1-4939-8728-3_16
Pubmed ID
Book ISBNs
978-1-4939-8726-9, 978-1-4939-8728-3
Authors

Mehdi Layeghifard, David M. Hwang, David S. Guttman, Layeghifard, Mehdi, Hwang, David M., Guttman, David S.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 21%
Student > Ph. D. Student 30 19%
Researcher 19 12%
Student > Bachelor 12 8%
Student > Doctoral Student 9 6%
Other 19 12%
Unknown 33 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 32%
Biochemistry, Genetics and Molecular Biology 25 16%
Environmental Science 12 8%
Immunology and Microbiology 9 6%
Computer Science 4 3%
Other 14 9%
Unknown 41 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 July 2019.
All research outputs
#4,259,157
of 25,728,350 outputs
Outputs from Methods in molecular biology
#1,044
of 14,336 outputs
Outputs of similar age
#78,049
of 356,892 outputs
Outputs of similar age from Methods in molecular biology
#14
of 216 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,336 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 356,892 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.